• 观点
    员工体验平台的演进:推动 AI 转型的关键引擎 Josh Bersin 公司发布新研究指出:员工体验平台(EXP)正在成为企业 AI 转型的关键基础设施。EXP 不再只是HR工具,而是推动组织学习、透明沟通和员工赋能的核心平台。研究提出五大战略:以人为本、自下而上、持续学习、透明沟通和实时优化。案例包括 Microsoft 的 HR AI 转型、ASOS 的 AI 自动化、Clifford Chance 的法律文书 AI 起草。EXP 赋能组织实现敏捷变革和AI落地。 AI 正在快速改变职场——不仅是技术,更是组织文化与工作方式的深刻变革。 人工智能(AI)的广泛应用为生产力、效率和业务增长带来了前所未有的机遇。然而,AI 转型并不仅仅意味着“部署新技术”,它实际上深刻地重塑了员工体验,影响着组织文化、团队协作方式与工作流程。 在这一转型过程中,员工体验平台(Employee Experience Platform,简称 EXP) 正逐渐从传统的 HR 工具,演进为推动企业成功实施 AI 的关键引擎。EXP 不再只是一个用于请假或查政策的门户,而是集成沟通、学习、协作、数据与自动化的智能化平台,帮助组织推动 AI 采纳、提升员工准备度,并确保 AI 真正带来业务价值。 员工体验平台的演进 EXP 的初始功能主要是处理事务性流程,如请假申请、薪资查询等。但如今,随着 AI 技术的发展,EXP 已演变为智能化的交互中心,集成以下核心功能: 跨系统的员工沟通与协作 提供关于 AI 使用和员工情绪的实时洞察 支持个性化的学习与技能建设 自动化重复任务,让员工专注于更有价值的工作 同时,得益于 AI Agent 的融入,如今的 EXP 变得更易使用,员工可通过自然语言与系统交互,实现跨系统流程操作,无需再进入多个事务性系统。 因此,EXP 不再是“可有可无”的系统,而是 企业 AI 成功转型的关键基础设施。 企业 AI 转型案例 我们调研了三家具有代表性的公司,探讨他们在 AI 转型中如何借助 EXP 实现落地与成效: 1. ASOS(线上时尚零售) 部署 Microsoft Copilot 与 Microsoft Viva 赋能多业务部门 用 AI 驱动 HR 案例处理工具,提升服务效率 通过自助服务门户精简事务流程 用自定义 AI bot 自动完成可持续认证流程 成果:员工生产力提升、参与度增强、AI 无缝落地 2. Microsoft(打造 AI 驱动的 HR 部门) 通过 Viva 学习模块开展 AI 培训 自助 HR 工具增强员工支持体验 实时分析 AI 使用情况,持续优化策略 成果:HR 效率显著提升,数千名 HR 领导参与 AI 社群 3. Clifford Chance(国际律所) 用 AI 起草法律文件,为律师提供初稿 借助 AI 语言工具跨越法律语境差异 利用 AI 管理法律知识,快速找出相关案例 成果:文书效率提升、知识共享加速、决策更精准 AI 转型的敏捷性要求 与传统变革不同,AI 推广不是一次性事件,而是一个 持续试验、迭代和适应的过程。因此,企业需具备“变革敏捷性”(Change Agility),用灵活的机制推动员工学习和组织协同。 借助 EXP 实现 AI 成功的五大战略 我们总结出五个成功企业在 AI 转型过程中普遍遵循的策略,而 EXP 是支撑这些策略实施的核心平台: 1. 以人为本与目标导向(Focus on People and Purpose) AI 的导入需与组织使命、价值观和员工需求保持一致。EXP 可确保所有 AI 工具围绕员工体验设计,提升参与度、工作效率和福祉。 ? 案例:Microsoft HR 借助 Viva Amplify 定制 AI 推广内容,让 HR 团队及时获取战略沟通信息,确保 AI 项目与业务目标保持一致。 2. 采用自下而上的迭代方法(Bottom-Up, Iterative Approach) AI 转型不能靠高层指令推动,而应依赖一线员工的反馈与试验。EXP 通过实时反馈与学习机制,让员工在实际工作中试用、迭代与优化 AI 工具。 ? 案例:ASOS 借助 Viva 社区功能发起“Work Smarter”活动,员工可在平台上公开交流 AI 使用案例,形成知识共享文化。 3. 鼓励透明沟通与试验精神(Transparent Communication and Experimentation) 员工需要明确知道 AI 工具的使用场景、目的与风险,才能建立信任并积极参与。EXP 提供结构化、公开的试验机制,确保过程透明。 ? 案例:Clifford Chance 在 Microsoft Viva 中嵌入 AI 工作流程,员工可以实时测试 AI 辅助起草功能,同时了解其运行逻辑。 4. 推动持续学习与技能建设(Continuous Learning and Skill-Building) 员工必须掌握 AI 基本素养,才能有效融入 AI 工具。EXP 提供基于角色定制的学习路径,支持技能升级与长期成长。 ? 案例:Clifford Chance 借助 Viva Learning 培训员工 prompt 工程、AI 素养与数据分析技能,为 AI 工具的使用打下基础。 5. 实现实时度量与持续优化(Real-Time Measurement and Improvement) 与传统 IT 项目不同,AI 推广必须持续监测并快速调整策略。EXP 提供实时分析能力,帮助企业追踪员工情绪、生产力与 AI 使用情况。 ? 案例:Microsoft HR 借助 Viva Insights 实时追踪 AI 使用频率、员工负荷减轻情况与情绪变化,以便动态调整 AI 战略。 HR 在 AI 转型中的新角色 在 AI 重构工作的过程中,HR 部门不再只是支持者,而是: 主导员工技能升级与再培训 协助重塑岗位定义与工作流程 在 HR、IT 与业务之间架起 AI 战略桥梁 落实负责任 AI 政策,确保 AI 应用符合伦理与企业文化 HR 将在未来的 AI 时代中扮演 “战略引导者 + 管理变革催化者” 的核心角色。 行动建议与未来展望 企业若想在 AI 转型中取得成功,应当: ✅ 采用“变革敏捷”思维,持续学习、实时迭代 ✅ 建立 AI 驱动的员工体验平台,支持流程与文化融合 ✅ 打破 HR、IT、业务之间的壁垒,实现跨部门协同 ✅ 实施实时度量机制,根据反馈不断优化 AI 战略 EXP 已成为企业迈入 AI 未来的基础设施。 AI 将持续重塑职场,但决定 AI 成败的关键并非技术本身,而是组织是否能让员工真正拥抱 AI、用好 AI。 EXP 不再只是一个 HR 工具,而是打造学习型组织、推动信任建设和灵活变革的“中枢神经系统”。企业若想在 AI 驱动的时代中保持竞争力,就必须把员工体验放在战略核心位置。 作者:Kathi Enderes | 全球研究与行业分析高级副总裁 | Josh Bersin Company
    观点
    2025年07月19日
  • 观点
    How California Employees Can Navigate Conflict & Respond to Workplace Aggression 在加州职场,冲突虽常见,但若升级为言语、心理或身体上的攻击,员工权益和安全便受到严重威胁。本文由加州资深劳动律师 Andrea Amaya 撰写,结合丰富实务经验,为员工提供一套应对职场侵害的法律行动指南。 首先,员工需识别何为“正常摩擦”与“侵害行为”之间的界限——如果对方的行为使你感到受威胁、被羞辱、被排挤,或影响工作绩效,就不应被视为“职场常态”。其次,律师强调“记录一切”的重要性,即便是微小的不适也应及时整理证据,如保存邮件、截图聊天记录,并建立日志。 面对挑衅时,理性、专业的回应比情绪化反应更具保护力。文章建议使用明确措辞维护自身底线,并在适当时向HR正式提出书面投诉。但员工也需意识到HR并非完全中立,举报时需谨慎、留存所有记录。如担心遭遇打击报复,建议先与律师沟通。 当局势持续恶化、损害身心健康时,员工应评估是否需要寻求法律援助或考虑离职。在加州,基于歧视、骚扰或报复的侵权可向 CRD 或 EEOC 提出申诉。 作者最后提醒,职场毒性文化的存在并非员工本人的失败,勇敢维权、优先保护自己的心理健康,是专业、成熟且有力的选择。 LOS ANGELES, July 15, 2025-Conflict is part of any workplace and often unavoidable. It can look like subtle disrespect in meetings or outright hostility behind closed doors.But when conflict escalates into aggression, whether it be verbal, psychological, or even physical, and it starts threatening your dignity, safety, and career, it stops being a mere HR matter. As an employment lawyer in California representing employees across industries, I've seen how workplace aggression, left unchecked, can erode mental health, derail careers, and silence otherwise brilliant voices. But I've also seen how clarity, strategy, and the courage to act can turn conflict into a turning point rather than a breaking point. Here's how California employees can navigate workplace conflict and respond to aggression in a way that's not only safe and smart, but legally informed. 1. Recognize the Difference Between Discomfort and Abuse Not every disagreement is "hostile work environment" material. Workplaces are made up of employees with differing opinions, personalities and backgrounds. Disagreements are bound to happen. However, there is a difference between a disagreement or a misunderstanding and a toxic work environment. Many workers, especially in hierarchical or high-pressure fields, normalize toxic dynamics. If you find yourself second-guessing whether your colleague's tone, your supervisor's "jokes," or the constant exclusion from meetings are just part of the job, pause. Ask yourself: Is this behavior isolating me, threatening me, humiliating me, or interfering with my ability to do my job? In California, workplace aggression can cross legal lines if it includes harassment (especially if based on protected characteristics like race, gender, age, disability, etc.) or retaliation (for reporting wrongdoing, requesting medical leave, etc.). It doesn't have to be physical. Verbal attacks, threats, and sabotage count. 2. Document Everything, Even the "Small" Stuff Legal cases aren't built on vibes; they're built on records. If a coworker publicly berates you, if your boss sends passive-aggressive emails, or if you're left out of key communications, write it down. Save the emails. Screenshot the thread. Keep a running log with dates, what happened, and who was present. Even if you never file a formal complaint, documentation arms you with clarity and credibility. It helps HR understand patterns, not just isolated events. And if things do escalate legally, it could be the difference between "he said, she said" and a compelling, evidence-based claim. 3. Respond Strategically, Not Emotionally It's human to want to snap back at the colleague who cuts you down in front of others. But emotional reactions can be used against you later, especially if the aggressor is angling to provoke you. Instead, respond with professionalism. If safe, call out the behavior calmly: "I'd prefer to be spoken to respectfully. Is there something specific you want to address?" If you're in a meeting, redirect the conversation or note the inappropriate behavior in writing afterward. Use phrases like: "To clarify what was said earlier…" "For the record, I'd like to note…" Standing up for yourself may feel uncomfortable, especially if you're junior or underrepresented, but it is a crucial step to protecting your dignity. Remember: assertiveness is not aggression. It's boundary-setting. 4. Use Your Company's Processes, But With Eyes Wide Open HR is supposed to be a neutral party, but in practice, they often serve the company's interests. That doesn't mean you shouldn't report bad behavior. It means you should report with awareness. When making a complaint: Be clear, specific, and factual. Stick to workplace impact (e.g., "This interfered with my ability to do X"). Ask for a written acknowledgment of your complaint. Save a copy of everything you submit or receive. In California, retaliation for complaining about unlawful behavior (discrimination, harassment, wage violations, etc.) is itself illegal. Nonetheless, retaliation by an employer is still common. If you're concerned about blowback, consult an employment lawyer before filing the complaint. 5. Know When to Escalate, And When to Exit There comes a point when the question shifts from "Can I fix this?" to "Is this worth staying in?" That's not quitting. That's choosing yourself. If conflict or aggression becomes chronic, or harmful to your health, or it remains unresolved, it may be time to seek outside help. In some cases, a legal letter can prompt change. In others, a claim with the California Civil Rights Department (CRD) or Equal Employment Opportunity Commission (EEOC) may be appropriate. And sometimes, the bravest and healthiest move is to walk away, with your records intact, your self-respect preserved, and legal options open. This doesn't mean you are giving up. You are simply prioritizing your mental and physical health. You are not unprofessional for protecting your peace. And you are not alone. Take action. Final Thoughts If you're dealing with constant tension or subtle hostility, it's easy to internalize it as a personal failure. But much of what we call "personality conflicts" in the workplace is actually a failure of culture and leadership. Especially for employees from marginalized communities, navigating workplace aggression can feel like an invisible second job. Recognize when a situation is harmful. Leaving a workplace that no longer suits you is not a sign of weakness. While workplace aggression can make you feel powerless, remember that you have the power to control the outcome. You don't need to be loud to stand up for yourself. You just need to be strategic, supported, and unshakably clear on your worth. The law, when understood and applied, is a powerful ally. Contact D.Law by calling (818) 875-2008 or send a message with any questions or concerns you may have regarding your employment rights. Our attorneys are experts in California employment law and worker's rights and can help you with the problems you are faced with.   -By Andrea Amaya, Associate Attorney, D.Law
    观点
    2025年07月15日
  • 观点
    前谷歌HR副总裁谈:AI不是“理解”人类,而是“预测人类”,Laszlo Bock谈职场的下一个十年挑战 在2025年5月的一场广受关注的主题演讲中,前Google人力资源主管、Humu创始人Laszlo Bock分享了他对“AI如何重塑未来工作形态”的深度洞察。这不仅是一场关于技术的讲座,更是一份面向HR群体的战略警告和实践指南。 他的核心论点可以归结为三点:AI并不真正“理解”语言,它只是预测下一句话最可能出现什么词;AI将迅速改变职场结构,尤其是初级岗位和事务性工作的消失;HR若不掌握数据能力和实验逻辑,将失去为员工发声和引导组织转型的机会。 人类直觉无法判断AI边界:它看世界是“token”,不是意义 Laszlo用一个看似简单但极具颠覆性的观点开场:AI不是在“思考”,而是在“预测”。 他指出,大型语言模型(LLMs)是通过将语言拆解成“token”(语言单位)进行训练的。这些模型并不具备语义理解能力,而是基于庞大的语料库,预测下一个最有可能的token。比如,当你问AI“生成一个1到100之间的随机数”,你可能经常得到“42”这个答案。这并不是因为42有任何数学意义,而是因为它在互联网上出现频率高——尤其是在大量关于《银河系漫游指南》的内容中。 这种基于“频率预测”而非“逻辑理解”的模式导致AI具备一种“锯齿状的能力边界”——即它在某些任务上表现卓越,但在看似相似的任务上却经常出错。例如,它可以写出流畅的商业邮件,但无法准确区分事实与虚构;它可以写诗,但很难遵守准确的格式要求;它可以下棋,却经常做出输局的决策。 正因为如此,我们人类在评估AI能否胜任某项任务时,往往会被自己的“直觉”误导。 AI提升了工作绩效平均值,但并不意味着每个人都会受益 Laszlo引用了BCG与哈佛商学院的联合研究,展示AI对员工绩效的实质影响。在这项研究中,团队设计了18种与真实工作情境接近的任务,从数据分析到创意思维,从说服性表达到战略建议。结果发现,当员工使用AI工具协助完成任务时,整体绩效水平显著提升,原本员工间28%的能力差距被缩小至5%。 这意味着,未来的职场中,“差距”会被压缩,“平均”成为常态。听起来似乎是件好事,但Laszlo却抛出一个值得HR深思的问题:如果每个人都变得“高效”,组织会如何反应?是减少工时?提高薪酬?还是干脆将“平均线”当作新标准,进一步压缩人力成本? 这并非杞人忧天。历史经验告诉我们,技术进步往往首先带来“效率红利”,但最终这些红利会在某些层级被资本所吸收,而不是自动回流到员工手中。 职场结构正在重构:五类岗位首当其冲 在对未来工作的预判中,Laszlo明确指出了五类岗位或将迅速减少,甚至消失。 首先是离岸外包型工作。随着AI在数据处理、文档生成等任务中的普及,企业将更倾向于直接部署AI模型,而非将工作转包给人力成本较低的国家。 其次是初级岗位,尤其是在咨询、银行、律师事务所等以“精英路径”著称的行业。大量初级岗位的主要任务是处理数据、制作PPT、整理分析报告,这些恰恰是AI擅长的内容。 第三类是事务性小时工,例如快餐店点单员、呼叫中心客服等。这些岗位过去被认为是“不可被机器取代”的人机交互工作,如今正被AI语音助手、聊天机器人、自动点餐系统等迅速替代。 第四,组织将逐渐发现一个更棘手的问题:中层管理人才短缺。Laszlo预测,未来4至7年内,具备协调能力、能带团队、能处理人际复杂问题的管理者将变得极为稀缺,因为AI可以替代事务执行,但无法承担信任建立、冲突调和、判断取舍等高度人性化的职责。 最后,是那些“以为安全”的专业性岗位,例如金融分析师、法律助理、初级产品经理等。如果其主要职责是信息归纳与逻辑输出,同样处于AI威胁之下。 HR需重新定位:别再做“感觉派”,而要成为“实验派” Laszlo在演讲中特别点名了HR行业的一个致命短板:很多政策和项目的设计并没有建立在实证基础之上,而是靠“经验”与“感觉”。 他列举了一些广泛存在的误区,例如: 提高员工内推奖金,并没有显著提升推荐量; 健康激励项目(如健身补贴)往往吸引的本来就是健康人; 看重名校背景的招聘标准,与员工实际绩效无关,甚至有时是负相关; 培训项目6个月后的绩效反而下降; 要求员工返岗的政策,降低了满意度,但并未提升生产力。 这些都说明,缺乏实验和数据支持的HR决策,可能带来反效果。 因此,他呼吁HR团队要向科学靠拢,掌握A/B测试、因果验证、数据解读等基本实验方法。特别是在部署AI相关工具和流程时,必须通过“高质量实验”来判断其真正影响,否则就只是被技术牵着走。 企业该如何准备?Laszlo提出六条实践路径 为了帮助企业和HR真正应对AI带来的变革,Laszlo提出了六条务实的建议。这些建议并不需要企业“砸钱买AI”,而是聚焦于“组织能力”的构建。 第一,清洗和集中数据。数据质量是AI成功的前提,脏乱差的数据只会导致错误的预测和决策。 第二,建立统计和实验能力。无论是HR项目还是AI工具的效果评估,都必须靠科学实验说话。 第三,设立“AI专责角色”。组织中应有一位专门负责AI探索的人,持续关注行业动态,并定期向管理层报告AI试点进展。 第四,选择业务最痛的地方,或个人最热情的领域作为AI试点起点。这样更容易获得支持与反馈。 第五,培养员工的学习能力,并将其作为招聘标准。因为我们无法预测未来五年最需要的技能,但可以培养出善于学习的员工。 第六,保持耐心。AI转型不是一蹴而就的。强生公司就用了三年时间,通过系统实验才明确AI的价值落点。 HR的第二次“高光时刻”已到来 Laszlo的结尾令人动容。他说,疫情期间,HR成为企业最重要的部门之一——引导组织远程办公、调整政策、守护员工心理健康。今天,随着AI浪潮席卷而来,HR再次站在战略变革的第一线。 而这一次,HR面临的不是临时危机,而是长期结构性重塑。一个真正成熟的HR团队,必须不仅能理解人,也要能理解技术;不仅能提出人本关怀,也能设计科学流程;不仅能代表员工发声,也能为组织盈利模式注入长期主义。 这既是一份挑战,更是一份召唤。 AI时代来临,每一个组织都必须重新思考“人”的价值。而HR,正是那个最应该引领答案的人。 Laszlo Bock的这场演讲,值得每一位HR反复阅读、深入讨论,并在组织内部真正落地。 如果你还没有准备好,不如从这六件事做起。 如果你已经在路上,欢迎把这篇文章分享给更多同行,一起构建一个更智慧也更有人性的未来职场。 备注: Laszlo Bock背景介绍: 前 Google 全球人力资源高级副总裁(SVP of People Operations),Humu 联合创始人,已退出管理岗位,AI 与组织变革思想领袖。 畅销书:《Work Rules!》(2015)
    观点
    2025年07月13日
  • 观点
    【深度报道】硅谷惊现“顶级面霸”,简历造假连骗十余家AI公司,北美HR该警惕什么? 近日,一起涉及十多家硅谷 AI 初创公司的“简历造假+多头就业”事件震惊了整个科技圈。主角是一位名叫 Soham Parekh 的印度工程师,他凭借在技术面试中的优异表现,先后在多家初创公司就职,甚至部分同时任职,并声称每周工作140小时。 事件的导火索源于图像生成公司 Playground AI 的 CEO Suhail Doshi 在 X(原 Twitter)上的实名举报,随后多家初创公司相继站出证实与 Parekh 的雇佣与解雇经历,包括 Antimetal、Lindy、Create、ComfyUI、Fleet AI 等,几乎清一色为 YC(Y Combinator)孵化背景的企业。 多头就业?还是系统性漏洞? 虽然美国加州法律并未禁止雇员兼职,但 Parekh 的行为之所以引发轩然大波,是因为他存在以下问题: 使用伪造学历(如声称拥有 Georgia Tech 硕士学位) GitHub 项目疑似“包装过度” Zoom 面试时谎称人在美国,实际IP显示身处印度 屡次被解雇但能轻松再获 Offer,形成雇佣循环 工作交付远低于承诺,甚至多公司反馈其“几乎无产出” 这一系列行为揭示了当前北美科技公司在远程招聘背景下的五大漏洞: 1. 简历与学历审查不严 许多初创公司在招人时过于依赖面试表现和 GitHub 活跃度,对候选人学历、工作经历缺乏核查机制。 2. 技术面试高分≠实际产出 Parekh 多次在面试中表现优异,尤其在 React 与 DevOps 领域,但一旦入职就无法履行职责,说明当前技术面试对“长期交付能力”的考察存在缺失。 3. 远程办公带来信任危机 通过 Zoom 面试与异地远程入职,极易被滥用。“IP 追踪”被多家公司采用验证位置,显示出公司对员工身份与地点的焦虑日增。 4. 过度信任 YC 背景的候选人 许多招聘方坦言,Parekh 能屡次拿到 Offer,与其参与 YC 系初创项目、GitHub 活跃度高有关,但这种“光环式信任”在缺乏交叉验证时,极易成为盲点。 5. 缺乏有效的背调与信息共享机制 多家公司解雇了 Parekh,却未能及时通过社群或平台共享信息,直到一位 CEO 发帖才引发连锁反应。这也暴露出科技圈在“异常雇员识别”机制上的空白。 对北美HR的警示 本事件不仅是一桩个案,更是一场对北美 HR 制度与工具的“压力测试”。在“远程优先”“AI技术密集”背景下,人力资源工作者需要: 建立更专业的 背景核查流程,包括教育机构验证、IP地点确认等; 结合技术评估与行为面试,增强对“真实可持续能力”的识别; 强化员工入职后的 绩效追踪 与多头就业监控机制; 推动行业层面建立 异常简历举报与信息共享系统。 Soham Parekh 的行为是否构成道德或法律上的越界,还需进一步讨论。但毋庸置疑的是,这场“顶级面霸”事件已为 HR 敲响警钟:招聘不再只是看简历与技术,更需系统性的信任验证与制度设计。 在新一轮 AI 用工浪潮下,HR 不仅要“招得快”,更要“识得准”。
    观点
    2025年07月04日
  • 观点
    The Workday Economy – A Bold New Strategy Emerges By Kathi Enderes, SVP Research and Global Industry Analyst with comments by Josh Bersin The Workday Innovation Summit 2025 was more than an analyst meeting: it was a signal that Workday is attempting a full-scale reinvention. Under CEO Carl Eschenbach and Board Chair Aneel Bhusri, Workday is shifting from a product-centric model to an open, partner-driven, AI-powered ecosystem they call “The Workday Economy.” Let’s explain what the company is up to.   Strong Financial Performance  Now on its 20th birthday, Workday is in a position of strength: – $7.7 billion in subscription revenue – 16.9% year-over-year growth – 11,000+ customers in 175+ countries – 70 million users – 93% customer satisfaction. The company’s goal is to reach $10 billion over the next few years, which means continuing this level of growth. Workday is banking on a few big bets: aggressive partnerships and industry solutions, building Agentic AI, investment in Workday Financials, and a mid-market offering. Let’s look at each of the components in detail. The Platform Play: From System to Ecosystem Workday’s legacy as a highly integrated, proprietary stack (or “walled garden”) worked for years, but now it slows innovation. Now, with intention to make Workday an open platform, the company is expanding its Built on Workday program and expanded Workday Marketplace, to build a “Workday Economy.” Partners and customers can use Workday Extend to build applications natively, with low-code tools and lots of support. Comment by Josh: Workday Extend is a massive priority, but building Workday apps is difficult. With 87 partners now, how big can this app ecosystem become? And just as Apple tightly controls apps for the i-Phone, can Workday do the same with such complex industry partners? They’re definitely going in the right direction. Partnerships as Engine of Innovation Workday’s partner ecosystem is now front and center, supporting ISVs, advisory firms, system integrators, and co-innovation partners. A new Clear Skies Initiative is supposed to prevent channel conflict, ensuring partners can build without competing with Workday’s core offerings. Strategic alliances with Randstad, TechWolf, and five new Workday Wellness partners (including MetLife) are examples. Can Workday use these partnerships to drive real, measurable results? Many partner programs are simply referral relationships: how will sales and service teams invest in the success of these partnerships? This is a new muscle for Workday to build. Comment by Josh: This is big. I think Carl understands that Workday’s “market power,” built through its reputation over 20 years, lets the company pick winning partners and resell their offerings, invest in them, and stop trying to build or compete with everyone in this market. This is the type of behavior a $20-30 Billion company demonstrates, and I hope it continues. (ADP white labels many products and their business never stops growing.) Agentic AI: The Next Frontier Agentic AI is clearly core to the strategy. The Workday Assistant, powered by Illuminate, lets employees interact with HR and finance in natural language, across Microsoft Teams, Slack, and more. Early agentic applications like the Payroll Agent, Employee Self-Service Agent, or Recruiting Agent are promising, but the real test will be customer adoption to create business value. As companies deploy more specialized agents, Workday’s Agent System of Record aims to manage all agents, not just the ones created on Workday. With big players like Microsoft, Google, and ServiceNow aiming for the same level of control, this will be a tough battle to fight. Comment by Josh: I’m not really convinced that Workday can be a system of record for agents, when the system is missing so much data. I would bet on Microsoft, Google, Okta, or others to dominate the agent governance market. On the other hand, agents that work with Workday (recruiting agents, L&D agents, pay agents, etc.) do have to integrate with Workday somehow, so to me this is a way to integrate, not “govern” agents. Agent Extensibility and Customization The new Workday Assistant Studio lets partners and customers build agents to fit unique workflows. This extensibility is good news for customers, but it comes with risk. How well will these interfaces work and how easy will it be for vendors to build integrated apps? Workday now has direct integration with Microsoft Copilot and Google, but most Agent-builders are going after customers directly, and they may or may not want to be held hostage within the Workday Assistant. Comment from Josh: Right now SAP Joule is a year ahead of Workday in ERP/HCM Assistants. Most Workday clients I talk with are afraid to even let employees touch the system and they’re deploying Copilot, ChatGPT, Galileo, or other dedicated assistants. The Workday Assistant strategy needs a bold new move, and Studio alone may not be enough. I think Workday may be better off focusing on optimizing its utility within other more broad AI assistants. (What happened to Workday’s big alliance with Salesforce I wonder.) HCM Innovation: Industry Focus and Acquisition Integration Workday’s HCM suite remains the company’s core, with a focus on practical AI and the employee experience. Industry-specific solutions for higher education, healthcare, and financial services are expanding, offering another path to growth and becoming indispensable for clients. Recent acquisitions like HiredScore, VNDLY, and Evisort can add mature AI-driven capabilities that can bring the HCM product (built 20 years ago) into the latest AI era, given the competition in this space. (Workday now resells Evisort.) Comment from Josh: Workday HCM product teams understand what customers need. The challenge they face is “getting there from here,” so I would bet we see many more acquisitions. If you read our latest research on the Revolution in Corporate Learning, for example, you see that Workday has missed this market. Ditto many recruitment features (high-volume, online job previews, AI-assessment.) So I would expect Workday to do more deals like HiredScore, where they get an AI product base and some amazing HCM product talent. Strong Focus on the Financial Suite Workday’s financial management suite is now central to its growth story, with over 35% of new customers choosing it. The company is pushing industry-specific financial applications, automation, and real-time insights. But the finance function can often be conservative and risk-averse, and the promise of truly integrated HCM and Finance solutions is still a dream for most customers. International Expansion Workday’s global ambitions are bold. New offices, expanded partnerships, and talent programs in EMEA are all part of the plan. Today only 25% of revenue comes from international markets so the company will need to invest heavily here. SAP and Oracle are quite dominant in some countries, so the company has to pick its markets carefully. And remember local players. As Workday courts the Global 2000 (including First-Citizens Bank & Trust, UnityPoint Health, and Toyota), the company definitely needs to build out support, partnerships, and presence in these geographies. Comment from Josh: There are many geographies (Asia, UK, Eastern Europe) where Workday is not well entrenched. While SAP and Oracle dominate some of these markets, if Workday builds a strong partnership model (ie. exclusive SI partnerships in these geos, etc.) they can double their growth rate in these sectors. Look at how well Workday has done in Australia (a fairly small market). Is the Mid-Market Ready for Workday? Expanding to the mid-market is another tenant of Workday’s growth plan. With WorkdayGo, the company is adapting its enterprise playbook to leverage partners. With players like UKG, Rippling, ADP, Dayforce, and HiBob providing tailored, right-sized solutions designed for this segment, Workday will find lots of resistance in this market. (SAP tried this years ago.) Comment from Josh: This is a push for me, I’m skeptical. I love Workday as a product but it’s very complex and needs major administrative support. I doubt Workday can effectively compete with HiBob, UKG, and the others Kathi mentions without building or buying a new product. Years ago Taleo (pioneer in ATS) acquired a separate company to launch Taleo Business Edition and that product sold like hotcakes. I have a hard time seeing how pre-configured Workday SKUs make it that much easier to administer. But who knows, maybe an AI-powered “configurator” could fix that up. Customer-Centric Innovation The 2025 Spring Release delivered over 350 new features, shaped by customer feedback. AI-powered talent rediscovery, simplified workflows, and industry-specific enhancements are all on the list. Customers are reportedly happy and shaping the roadmap. This pace of innovation requires companies to keep up with Workday, often not an easy feat, especially in the AI areas, where adoption still lags the many capabilities Workday offers. A focus on supporting AI transformation will be key to drive real value. Josh’s Perspectives Workday is an ambitious, well run, culture-driven company. These announcements signal a major shift from “technology-based” to “market-based” growth. There’s no question in my mind that thousands of ISVs and integrators would love to build businesses around Workday. The only question is how quickly Workday can make this easy and profitable (for them). As far as AI goes, the market is very competitive. SAP’s AI strategy quite far along (Joule is more extensible than the Workday Assistant), and many AI startups are reinventing the HCM market from scratch. So while the Workday Agent System of Record makes sense, many new “Agent-core” or “AI-native” HCM apps will chip away at Workday’s footprint. That all said, this is an exceptionally well run, strong, “Irresistible Organization”. With a new CTO and strong focus on global growth, I see no reason Workday can’t achieve its $10 Billion target in the next 3-4 years.
    观点
    2025年06月12日
  • 观点
    Yes, HR Organizations Will (Partially) Be Replaced by AI, And That’s Good I adore the human resources profession. These folks are responsible for hiring, development, leadership development, and some of the most important issues in business. And despite the history of HR being considered a compliance function, the role is more important than ever. CHRO salaries, for example, have increased at 5-times the rate of CEO pay over the last twenty years, demonstrating how essential HR has become. That said, we have to be honest that AI is going to disrupt our role. This week IBM formally announced that 94% of typical HR questions are now answered by its AI agent, and the role of HR Business Partner is all but eliminated except for very senior leaders. As a result the CEO plans to reduce HR headcount and shift that budget towards sales and engineering. Let’s accept the fact that we are in a time of increasing acceleration. In other words, the capabilities of AI are growing much faster than our organizations” ability to adapt, so we have to lean forward and start redesigning our companies. In the case of HR, our Systemic HR model (which we launched two years ago) is now being fully automated by AI. I know IBM’s story well, and I think it explains where all HR teams are going. Many years ago Diane Gherson (prior CHRO) started AI projects to automate recruitment, pay analysis, and performance management. She spoke at our conference eight years ago and shared how IBM’s pay tool (CogniPay was launched in 2018) uses AI to make pay recommendations based on skill. This type of tool, which was years ahead of the “skills-based” strategies we see today, essentially automated many of the performance and pay decisions left to managers.   Since then IBM has gone much further, and in my last conversation with Nickle Lamoureux (current CHRO) she told me the AI agent helps write performance reviews, creates development plans, and coaches managers and senior leaders on a myriad of performance based decisions. I totally believe this because I see Galileo doing these kinds of things for companies every day. (Check out the Mercury release.) How does this impact the roles and jobs in HR? Well it definitely eliminates many. In the case of L&D or HR business partners, I believe we could see a 20-30% or more reduction in HR headcount per employee. And that means these individuals may wind up managing the AI platforms, moving into roles as change consultants (which AI still can’t do), or move into areas like org design, learning architect, and data management. I think this is all a good thing. While we all worry about AI taking our jobs, we have to remember that our real job is not to “do things” but to “add value” and bring complex problem solving skills to our companies. And in this journey to “crawl up the value curve,” we all have to learn to use AI, develop AI solutions, and think more systemically about how our companies go to market. I recently interviewed a brilliant HR leader (podcast coming) at WPP who explained how he and his team rationalized their job architecture from 65,000 job titles to only 600 by using new AI tools from OpenAI and Reejig (a work intelligence vendor). As you’ll hear in his story, this effort was a combination of data management, business analysis, change management, and leadership. The results of this work, which are still ongoing, is the opportunity for WPP to dramatically change its go to market strategy, innovation, and growth. That’s the kind of thing we want our HR teams to do. And as these various agents hit the market (see my latest view of the market below), HR professionals are going to have to train them, implement them, and “manage them” for long term success. This means analyzing the cross-functional data they produce, extend them into better decision-making, and move our thinking from dated concepts like “time to hire” and “course completion rates” to meaningful measures like “time to revenue” or “time to productivity” or “time to customer service excellence.” See where I’m going? In a time of increasing technology acceleration we have to “lean in” as hard as we can. Stop thinking about how much money we save on headcount (which is a fleeting benefit, by the way) and focus on value creation. That’s the big benefit of AI: customer service quality, time to market, and innovation. In many ways these “HR downsizing” stories are really stores of “HR crawling up the value curve,” which is really a good thing. And for HR professionals, it’s a time for personal reinvention.
    观点
    2025年05月16日
  • 观点
    你以为大家都懂 AI?其实他们都在装懂——Pluralsight《2025 AI 技能报告》深度解读 “我其实不太懂,但又不好意思说。”——这是许多技术人员和高管面对 AI 时的真实心声。 在我们谈论 AI 如何颠覆行业、重塑岗位的时候,也许我们忽略了一个关键问题:究竟有多少人真的懂 AI? Pluralsight 最新发布的《2025 AI 技能报告》给出了一个惊人的答案:大多数人其实都在“演戏”。 是的,你没有听错。报告调查了来自美国和英国的 1,200 位技术高管和从业者,发现整整 79% 的人承认夸大了自己对 AI 的理解,而站在组织最前线的高管,居然有 91%“装懂”。这不仅是一场职场里的集体错觉,也是一面照见现实的镜子:AI 正在迅速成为新的职场“裸泳”试炼。 “会不会用 AI”变成了一种表演 在很多公司,使用 ChatGPT 或 Copilot 本应是一种提升效率的手段,但却被悄悄贴上了“偷懒”的标签。报告显示,61% 的人觉得在工作中用生成式 AI 会被认为不够敬业。 于是,人们开始偷偷摸摸地用 AI —— 不打招呼、不留痕迹,生怕别人知道自己依赖了工具。这种“影子 AI”现象,让整个职场变得有点像小学考试时偷偷翻书的学生:大家都在作弊,却都装作没有。 “我懂 AI”成为职场社交货币 在调查中,九成从业者自信地说:我有足够的技能把 AI 工具融入工作中。 但问题来了:几乎同样比例的人又说,是“其他人”的 AI 技能不够,才导致项目失败。 这不是一个技术问题,而是一个认知偏差问题。正如报告所言,这可能是“达克效应”(Dunning-Kruger Effect)在作怪:越不懂的人越自信,越懂的人越谨慎。 我们真的会被 AI 取代吗? 报告也揭示了另一种深层焦虑:90% 的受访者担心自己被 AI 替代,而这个比例较去年增长了 19%。最焦虑的行业包括:内容创作、数据分析、销售和市场。 但现实其实并不那么残酷。数据显示,有近一半的企业正在新增 AI 相关职位。换句话说,AI 并不是“替代者”,而是“重塑者”。只是那些被“重塑”之前的人,必须先完成一场认知与技能的跃迁。 真正的赢家,懂得不断更新 幸运的是,大多数公司正在醒来。59% 的企业已经开始提供 AI 培训,54% 的企业通过涨薪来缓解员工的焦虑,甚至有些公司开始为员工提供“AI 心理建设”。 更可喜的是,有 8 成的技术从业者表示:AI 真的让我的工作更轻松了。 从数据建模到个性化推荐,从云管理到自动化任务,这些看似“高冷”的 AI 应用,正在变得触手可及。 写在最后:别再装了,真的可以学 也许我们都该承认:AI 发展太快了,不懂是常态,懂才是稀缺。真正拉开差距的,从来不是“演得像不像”,而是你有没有诚实地面对自己的技能盲区,并持续进步。 这份报告不是在揭示一个笑话,而是在给每一个职场人提个醒:别再装了,时间不等人,AI 的浪潮已经拍到了你脚边。 你是要假装会游泳,还是现在就跳下去学?
    观点
    2025年04月03日
  • 观点
    Reddit上引发热议,某科技公司招聘黑幕曝光:学历、签证、公司背景,样样都是门槛! 近日,一封招聘人员意外发送的“内部选拔指南”邮件在Reddit上引发热议。帖子链接(原帖地址),曝光了一些科技公司在招聘过程中严格但不公开的筛选标准,其中涉及的“名校优待”、“创业经验至上”、“大厂背景反而受限”等条款,引发了求职者的愤怒和讨论。这封邮件不仅揭示了科技行业招聘中的精英主义倾向,也暴露了诸多招聘的“潜规则”。 名校+初创背景才吃香,大厂经验竟成劣势? 这封招聘邮件的内容明确显示,某些公司在筛选候选人时,具有极强的学历和职业背景筛选偏好。具体而言,他们的“理想候选人”需满足以下几个条件: 1. 学历要求:只要顶级 CS 名校,其他免谈 招聘方只认可全球最顶尖的计算机科学(CS)项目毕业生,其中包括: 麻省理工学院(MIT) 斯坦福大学 卡耐基梅隆大学(CMU) 加州大学伯克利分校(UC Berkeley) 加州理工学院(Caltech) 伊利诺伊大学厄巴纳-香槟分校(UIUC) 滑铁卢大学(University of Waterloo) 即使是“非这些学校”的候选人,也只有 GPA 4.0 的超高学术表现才能勉强获得考虑。这种做法显然忽略了其他优秀院校的计算机专业毕业生,使得许多同样具备技术能力的人才被排除在外。 2. 初创公司经验优先,大厂背景不受待见 令人惊讶的是,该招聘方明确表示:如果候选人职业生涯只在大公司(即使是 Google、Facebook 等顶级企业)工作过,而没有初创公司经验,那么他们将被直接淘汰。相反,他们更青睐那些曾在Y Combinator、红杉资本等顶级风投支持的创业公司工作过的求职者。这表明在该招聘体系中,“大厂背景”反而成了一种劣势,而拥有创业经验则成为加分项。 3. 只接受美国/加拿大公民,拒绝一切签证候选人 邮件中明确写道:“绝对不提供签证赞助(Absolutely no Visa sponsorships)”,这意味着非美国公民或绿卡持有者将直接被拒绝,即使他们的技术能力再强也无济于事。这一政策无疑对国际人才构成了巨大障碍,尤其是在科技行业对技术移民依赖较高的背景下,这种做法进一步加剧了求职市场的不平等。 4. “黑名单”公司:曾在这些企业工作的人将被一票否决 除了学历和职业经历,邮件还列出了一份**“禁止入内”的企业名单,明确表示凡是曾在以下公司工作过的求职者,一律不会被考虑**: Intel、Cisco、HP、TCS、Tata、Mahindra、Infosys、Capgemini、Dell、Cognizant、Wipro 等。 这些公司大多是传统 IT 咨询和外包公司,尤其是印度 IT 服务企业(如 Infosys、TCS、Wipro),这反映了某些企业对咨询公司背景的候选人存在明显的偏见。在他们看来,这些公司的工程师并不符合产品公司所需的“创业精神”和“创新能力”,即使这些候选人拥有丰富的技术经验,仍然被一刀切地排除在外。 招聘背后的“潜规则”:精英主义与歧视并存 这封邮件的曝光,引发了求职者的强烈反应,许多人对这种过度筛选的招聘模式感到愤怒。事实上,这样的**“隐形门槛”**并非个例,而是科技行业中长期存在的招聘“潜规则”之一: “名校优待”:学历筛选成隐形壁垒许多公司在招聘时,虽然不会明文规定“只要名校生”,但实际操作中,非名校毕业生即使能力再强,也很难进入面试环节。这不仅加剧了教育资源的不公平,也让许多优秀的自学者或非名校背景的技术人才被无情淘汰。 “创业优先”:初创经历被过度神化虽然初创公司确实能提供更快的成长环境,但过度强调“创业背景”可能会导致公司错失大量经验丰富的工程师。事实上,大型科技公司同样培养了世界级的软件工程师,这种**“不欢迎大厂人”**的做法未必合理。 “签证歧视”:国际人才遭遇系统性排除近年来,许多科技公司缩减了对国际求职者的签证赞助,这让非美国公民的候选人面临更大挑战。虽然签证问题确实涉及额外的行政流程,但完全拒绝非本国公民的做法,显然加剧了招聘市场的不公平。 “背景筛查”:曾在某些公司工作过就直接拒绝?这种做法不仅不合理,甚至可能涉嫌职业歧视。仅凭公司名录就全盘否定候选人的经验,既不科学,也容易导致招聘方错失真正优秀的人才。 呼吁更公平的招聘标准 这封“内部选拔指南”邮件的曝光,提醒我们:招聘应该以能力为导向,而非学历、背景或国籍。企业在追求“最优秀”人才的同时,也应当考虑招聘标准的公平性,避免因过度筛选而造成人才流失。 我们呼吁科技公司在招聘过程中: 降低对学历的过度要求,给予非名校毕业生更多展示能力的机会。 评估候选人实际能力,而非单纯依据工作单位或创业经历来筛选。 提供更公平的国际人才机会,而非简单地拒绝所有签证申请者。 避免行业歧视,以技术能力和经验为核心标准,而非公司背景来衡量人才。 科技行业的发展依赖于优秀人才的不断涌入,而非将招聘变成“名校+创业俱乐部”的内部游戏。希望未来的招聘市场能更加开放,让真正有才华的技术人才获得公平的机会,而不是被学历、签证、背景等非技术因素所限制。
    观点
    2025年03月24日
  • 观点
    SHRM发布2025年HR新趋势:招聘降温,人才培养成关键 SHRM最新报告显示,2025年HR工作重点已从“招聘”转向“培养现有人才”。领导力发展、职业成长和员工体验成为核心关注点,招聘甚至未进入前三。 HR’s 2025 Focus: Retention and Career Growth Overtake Recruiting HR优先级转变:从招聘到人才培养 根据2025年SHRM《职场状态报告》,HR的工作重点发生了重大变化。去年,招聘仍然是最优先的任务,而今年,领导力和管理发展已取代招聘,成为HR最关注的领域。令人意外的是,招聘甚至未能跻身2025年的前三大优先事项。这一变化表明,企业越来越关注内部人才的培养,而不是单纯依赖外部招聘来填补职位空缺。 这一趋势的背后,是劳动力市场的降温。Indeed的数据显示,截至2024年11月,美国的职位发布指数同比下降10%。相比2022年的招聘难题,如今的企业已经从“疯狂抢人”转向了“如何更好地利用现有人才”的新命题。 员工流失与倦怠问题仍是挑战 虽然招聘需求下降,但员工流失和倦怠问题仍然困扰着HR管理者。SHRM的调查显示,2024年,56%的HR专业人士认为企业的招聘工作是有效的,而仅有41%的员工同意这一观点。由于职位长期空缺,超过三分之一的员工不得不承担更重的工作量,导致职业倦怠加剧,进一步加剧了人才流失问题。 如果企业无法有效遏制员工流失,培训计划将难以发挥作用。美国人才发展协会(ATD)的一项研究发现,80%的人才发展专家认为,即使员工离职率较高,他们依然能够实施培训计划,但其中近一半的人表示,不清楚具体如何实现这一目标。这说明,在员工流动性较大的情况下,企业的人才培养计划可能面临实际落地的困难。 人才培养和员工体验成为HR新焦点 为了提升企业的竞争力,HR正将目光转向职业发展和员工体验。SHRM的报告强调,认可和团队协作是提高员工体验和留任率的关键要素。通过建立更有吸引力的培训体系,尤其是针对一线员工和小时工的职业发展路径,企业可以在竞争激烈的市场环境中保留核心人才。 在当前的HR趋势下,招聘不再是企业最优先的目标,取而代之的是如何最大化现有人才的价值。企业应积极调整HR策略,优化员工体验,提高职业成长机会,才能在未来的劳动力市场中保持竞争力。 关键点: 招聘需求下降:2025年HR优先事项转向领导力发展和人才培养,招聘不再是首要任务。 员工流失仍是挑战:职位空缺导致工作负担加重,员工倦怠加剧,HR需关注人才保留。 培养人才成新趋势:通过提升职业发展机会和优化员工体验,提高企业竞争力。  
    观点
    2025年03月21日
  • 观点
    什么是Agentic AI?AI Agent如何重塑HR行业? "Agentic AI"(代理人工智能)是您可能听说过的最新流行语,但实际上这个词在人力资源工作中的应用其实已经有一段时间了! 但究竟什么是 Agentic AI?它和传统的AI Agent有何区别?2025年是否真的是AI Agent之年? 特别呈现这篇文章与您分享! 在人工智能(AI)快速发展的今天,我们已经经历了**预测AI(Predictive AI)和生成式AI(Generative AI)**的兴起,而如今,**Agentic AI(自主智能体AI)**正成为AI的下一个进化阶段。对于HR行业而言,这一技术的到来意味着更加智能的HR系统、自动化的人才管理流程,以及更精准的数据驱动决策。 但究竟什么是Agentic AI?它和传统的AI Agent有何区别?2025年是否真的是AI Agent之年?本文将为你详细解析Agentic AI的核心概念,并探讨它如何改变HR行业。 1. 什么是Agentic AI? Agentic AI(自主智能体AI)是一种具备自主行动能力的人工智能技术,它不仅能像生成式AI一样回答问题、生成内容,还能自主感知环境、推理分析、执行任务,并从反馈中不断优化自身能力。 相比于传统的AI系统,Agentic AI最大的不同在于: 自主性(Autonomy):无需人工干预,AI代理可以独立完成任务,例如审核候选人简历、优化招聘流程等。 适应性(Adaptability):AI能够根据反馈不断优化决策,例如HR系统可以自动调整绩效评估标准,以适应不同部门的需求。 目标导向(Goal Orientation):Agentic AI可以自主制定目标,并推理如何达成这些目标,例如自动匹配候选人与职位,提高招聘效率。 2. AI Agent vs. Agentic AI:有什么区别? 在HR行业中,我们常见的AI Agent(AI代理),例如智能客服或自动化面试助手,已经在许多企业得到应用。但与Agentic AI相比,传统AI Agent仍然具有局限性。 举个例子: AI Agent:只能回答员工关于公司福利的常见问题,比如“今年的年假政策是什么?” Agentic AI:不仅能回答问题,还能主动分析员工的休假情况,自动推荐合适的休假时间,并结合公司政策优化排班,确保业务顺利运行。 3. Agentic AI如何改变HR行业? 随着Agentic AI的发展,HR的许多日常工作将发生巨变。以下是几个关键应用场景: (1)智能招聘与人才管理 Agentic AI可以帮助HR从简历筛选、面试安排到人才匹配实现全流程自动化。 ? 自动筛选简历:AI代理可通过自然语言处理(NLP)分析海量简历,并根据职位要求筛选最匹配的候选人。? 优化招聘流程:Agentic AI能够自主调整招聘策略,例如根据市场趋势调整岗位描述,优化招聘渠道,提高人才获取效率。? 智能面试安排:AI代理可以结合面试官和候选人的日程,自动安排面试,并实时调整时间,减少HR的重复沟通工作。 (2)绩效评估与员工发展 HR部门可以利用Agentic AI来优化绩效考核体系,并制定个性化的员工成长路径。 ? 智能绩效评估:AI代理可实时分析员工的工作数据,提供个性化绩效反馈,帮助管理者更公平地评估员工表现。? 个性化职业发展:Agentic AI可以分析员工的职业路径,自动推荐合适的培训课程或晋升机会,帮助企业留住优秀人才。 (3)员工体验与组织管理 AI可以提高员工满意度,并优化组织架构,提高整体效率。 ? 智能员工助手:AI代理可以主动提醒员工提交报销单、更新考勤信息,甚至预测员工的离职风险,并提前采取措施留住人才。? 企业文化管理:AI可以分析员工情绪,帮助HR团队制定更合适的企业文化建设方案。 4. 为什么2025年是“AI Agent之年”? 2025年,Agentic AI的应用将迎来爆发式增长,这主要得益于以下三大趋势: (1)AI技术的成熟与算力提升 随着大模型(如ChatGPT、NVIDIA NeMo)的不断升级,AI的推理能力越来越强,使得Agentic AI在HR场景下更加实用。 (2)企业数字化转型加速 全球范围内,企业正在加快HR数字化转型。Agentic AI能够帮助HR团队自动化重复性工作,让HR更专注于战略性任务,因此将被广泛应用。 (3)人才市场变化与HR挑战 后疫情时代,企业面临招聘难、员工流动性增加等挑战。Agentic AI可以通过智能化的人才管理系统,提高招聘效率、优化员工体验,并降低HR工作负担。 ? 预测:到2025年,超过50%的企业将引入Agentic AI,以优化HR管理流程。 5. HR如何准备迎接Agentic AI时代? 2025年将是AI Agent之年,HR行业必须抓住这一变革机遇。以下是HR团队可以采取的三大行动: ✅ 学习Agentic AI相关知识,关注AI在HR领域的应用趋势,如AI招聘、智能绩效管理等。✅ 尝试小规模部署AI代理,比如在员工服务、招聘管理等领域测试AI解决方案。✅ 与AI厂商合作,寻找适合企业的AI解决方案,如NVIDIA、微软、谷歌等提供的Agentic AI技术支持。 HR的未来,不只是管理人,更是管理智能体!Agentic AI将成为HR行业的重要助手,助力企业迈向智能化管理新时代! ? RAIHR倡导:实施负责任的AI(Responsible AI in HR, RAIHR) 随着Agentic AI在HR行业的广泛应用,我们必须关注AI的伦理、安全和公平性问题。**RAIHR(Responsible AI in HR)**倡导企业在引入Agentic AI时,遵循以下三大原则,确保AI技术的透明性、公平性和责任性: ✅ 透明性(Transparency):确保AI决策过程可解释,HR能够理解AI的筛选标准、考核指标,避免“黑箱”决策。✅ 公平性(Fairness):AI招聘和绩效评估应避免算法偏见,确保候选人和员工得到公平、公正的对待。✅ 责任性(Accountability):AI在HR领域的应用应遵循合规要求,确保数据安全,并提供人工复核机制,避免AI错误影响员工职业发展。 Agentic AI的未来,不仅是效率与智能的提升,更应是“负责任的AI”!HR行业需要共同努力,确保AI技术真正惠及企业与员工,让AI成为推动组织可持续发展的正向力量! ?? 总结:Agentic AI将彻底改变HR工作方式 ? AI Agent vs. Agentic AI:传统AI Agent只是执行预设任务,而Agentic AI能自主学习、推理和优化。? HR应用场景:Agentic AI将在招聘、绩效评估、员工体验等方面发挥巨大作用。? 2025年是AI Agent之年:技术突破、企业数字化转型、HR挑战推动Agentic AI的全面应用。 ? 实施负责任的AI(Responsible AI in HR, RAIHR)我们必须关注AI的伦理、安全和公平性问题 未来,HR不再是“人力资源管理者”,而是“AI智能管理者”!准备好迎接这场AI革命了吗? ?  
    观点
    2025年03月16日
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